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ADARES: Adaptive Resource Management for Virtual Machines [article]

Ignacio Cano, Lequn Chen, Pedro Fonseca, Tianqi Chen, Chern Cheah, Karan Gupta, Ramesh Chandra, Arvind Krishnamurthy
2018 arXiv   pre-print
We then propose ADARES, an adaptive system that dynamically adjusts VM resources using machine learning techniques.  ...  In particular, ADARES leverages the contextual bandits framework to effectively manage the adaptations.  ...  Acknowledgments Special thanks to Kevin Jamieson and Lalit Jain for their valuable and constructive feedback. We are also grateful to Robert Marver for helping with the experiments.  ... 
arXiv:1812.01837v2 fatcat:zvqjjaitfzab7fkzgogqxrpg3e

Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System [article]

Kevin Lai, Lars Rasmusson, Eytan Adar, Stephen Sorkin, Li Zhang, Bernardo A. Huberman
2004 arXiv   pre-print
Distributed clusters like the Grid and PlanetLab enable the same statistical multiplexing efficiency gains for computing as the Internet provides for networking.  ...  One major challenge is allocating resources in an economically efficient and low-latency way.  ...  Peter Toft provided the machines in Bristol and John Henriksson maintained them. John Janakiraman provided several machines in Palo Alto.  ... 
arXiv:cs/0412038v1 fatcat:lpqf6zulpnd65fkwihlqzntlaq

Tycoon: An implementation of a distributed, market-based resource allocation system

Kevin Lai, Lars Rasmusson, Eytan Adar, Li Zhang, Bernardo A. Huberman
2005 Multiagent and Grid Systems  
Distributed clusters like the Grid and PlanetLab enable the same statistical multiplexing efficiency gains for computing as the Internet provides for networking.  ...  One major challenge is allocating resources in an economically efficient and low-latency way.  ...  Peter Toft provided the machines in Bristol and John Henriksson maintained them. John Janakiraman provided several machines in Palo Alto.  ... 
doi:10.3233/mgs-2005-1303 fatcat:ndwm3ugcnjec3cj5iowqtzxd54

Haystack

Eytan Adar, David Kargar, Lynn Andrea Stein
1999 Proceedings of the eighth international conference on Information and knowledge management - CIKM '99  
Acknowledgements The authors would like to thank Mark Asdoorian, Aidan Low, and Ilya Lisansky for their work on Haystack.  ...  We would also like to thank Marti Hearst, Jan Pedersen, Lada Adamic, and Jeanette Figueroa for their valuable comments.  ...  This tier consists of various services that all run within the context of one Haystack root server (basically, a Java Virtual Machine).  ... 
doi:10.1145/319950.323231 dblp:conf/cikm/AdarKS99 fatcat:iqp4sysv5rhrpccg4d24ymhvli

Tutorial-based interfaces for cloud-enabled applications

Gierad Laput, Eytan Adar, Mira Dontcheva, Wilmot Li
2012 Proceedings of the 25th annual ACM symposium on User interface software and technology - UIST '12  
We demonstrate a working prototype system called TAPPCLOUD for creating, managing and using tapps.  ...  Initial user feedback indicates support for both the interactive features of tapps and their ability to automate image editing.  ...  We thank Jason Linder for his help with the figures and Ryan Oswald for early work on the CRF system.  ... 
doi:10.1145/2380116.2380132 dblp:conf/uist/LaputADL12 fatcat:kbt5fnv2gzenlhkeph2d3azwhy

KNOWME

Gautam Thatte, Ming Li, Sangwon Lee, Adar Emken, Shrikanth Narayanan, Urbashi Mitra, Donna Spruijt-Metz, Murali Annavaram
2012 ACM Transactions on Embedded Computing Systems  
The physical activity detection method employs personalized training phases and accounts for inter-session variability.  ...  The use of biometric sensors for monitoring an individual's health and related behaviors, continuously and in real time, promises to revolutionize health care in the near future.  ...  A recent enhancement is the provision of virtual memory (VM); without VM, the programmer must manage application memory usage.  ... 
doi:10.1145/2331147.2331158 fatcat:hi37dosr4jfxjmroufmfm3q3di

Benevolent deception in human computer interaction

Eytan Adar, Desney S. Tan, Jaime Teevan
2013 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13  
ACKNOWLEDGEMENTS We're particularly grateful to those who read early versions of this paper: Mark Ackerman, Sara Adar, Yaw Anokwa, Michael Bernstein, Batya Friedman, Travis Kriplean, Yang Li, and Dan Weld  ...  For example, developers of a product generally make tradeoffs between resources dedicated to building the product and user needs.  ...  Such systems emerge to manage user expectations or when safety is an issue.  ... 
doi:10.1145/2470654.2466246 dblp:conf/chi/AdarTT13 fatcat:vhnkqwxfjngybmhy52qoe53n2i

Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection

Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Murali Annavaram, Shrikanth Narayanan, Donna Spruijt-Metz, Urbashi Mitra
2011 IEEE Transactions on Signal Processing  
The optimal allocation of samples for physical activity detection in a wireless body area network for health-monitoring is considered.  ...  A filter-based feature selection method determines an optimal feature set for classification, and a correlated Gaussian model is considered.  ...  On the mobile platform end, his research focuses on energy efficient sensor management for body area sensor networks for continuous and realtime health monitoring.  ... 
doi:10.1109/tsp.2010.2104144 pmid:21796237 pmcid:PMC3142587 fatcat:viokflcqfjfhdnz73dcqcnatpi

Reputation-Based Pricing for Grid Computing in E-Science

Arun Anandasivam, Dirk Neumann
2008 European Conference on Information Systems  
One of the fundamental aspects for an efficient Grid usage is the optimization of resource allocation among the participants. However, this has not yet materialized.  ...  In this paper we present a reputation-based pricing mechanism for a simple, but fair pricing of resources. In e-Science researchers do not appreciate idiosyncratic pricing strategies and policies.  ...  Jobs are mapped by a proxy identifier, which is managed by the resource broker.  ... 
dblp:conf/ecis/AnandasivamN08 fatcat:azmqjzhe7fahvg33t2vnreb26q

AEGIS Data Analysis and Reduction (ADAR) in Support of the AEGIS Weapon System (AWS)

June Gaines
1998
The ADAR group and users had to adapt.  ...  As the AEGIS program has evolved, the ADAR group and system have also evolved and adapted.  ...  They started by first developing an ADAR library of low-level functions using C. Three main things contributed to the move from FORTRAN to C fo r ADAR programs: 1.  ... 
doi:10.25772/eenf-dw18 fatcat:2hjtkunoqfe5bor3vfuu2nhbvy

A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

Ahmed BinSahaq, Tarek Sheltami, Khaled Salah
2019 IEEE Access  
(MAPE-K) IBM architectural model for autonomic computing.  ...  In today's Internet, killer network services and applications, such as video and audio streaming, network storage, and online video games, are pushing the network infrastructure resources to the edge.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the support of King Fahd University of Petroleum and Minerals for this research.  ... 
doi:10.1109/access.2019.2919957 fatcat:5lw6ovaiangmpidtnzqxevy6vq

Intelligent Platform Based on Smart PPE for Safety in Workplaces

Sergio Márquez-Sánchez, Israel Campero-Jurado, Jorge Herrera-Santos, Sara Rodríguez, Juan M. Corchado
2021 Sensors  
It is therefore vital to adapt traditional equipment and systems used in the working environment to the new technological paradigm so that the industry is connected and, at the same time, workers are as  ...  long short-term memory, Gaussian Models were joined by interpreting the information with a graph, where different heuristics were used to weight the outputs as a whole, where finally a support vector machine  ...  supported by the project "Computación cuántica, virtualización de red, edge computing y registro distribuido para la inteligencia artificial del futuro", Reference: CCTT3/20/SA/0001, financed by Institute for  ... 
doi:10.3390/s21144652 fatcat:5hp2ix27xnbrzo2kft2fl4w37e

A review of IoT Network Management: Current Status and Perspectives

Moussa Aboubakar, Mounir Kellil, Pierre Roux
2021 Journal of King Saud University: Computer and Information Sciences  
The paper analyzes existing solutions for IoT low power networks management and presents a taxonomy of those solutions.  ...  This has fueled the development of different protocols and frameworks for management of IoT networks. In this paper we present a comprehensive study of representative works on IoT network management.  ...  The proposed framework called AdaR (Adaptive Routing) uses Least Squares Policy Iteration (LSPI) and allows sensor nodes to learn the optimal routing strategy regarding a set of optimization goal.  ... 
doi:10.1016/j.jksuci.2021.03.006 fatcat:diwi5hj6ubgi3dffxvyllgyaiy

Intelligent Big Information Retrieval of Smart Library Based on Graph Neural Network (GNN) Algorithm

Lu Pang, Qiangyi Li
2022 Computational Intelligence and Neuroscience  
Through the key technical problems and solutions of information recommendation represented by graph neural network (GNN) algorithm, this method explores how the library can realize the management and value  ...  Graph neural network is a more advantageous algorithm for node classification, link prediction, node clustering, or network visualization, which is of great help to improve the efficiency of information  ...  System Structure Construction. ere are three typical management modes of library information service system, namely point management mode, linear management mode and network management mode, as shown in  ... 
doi:10.1155/2022/1475069 pmid:35875784 pmcid:PMC9300356 fatcat:t4hyizfsavgqjften7mckclrmu

Automated bidding in computational markets: an application in market-based allocation of computing services

Nikolay Borissov, Dirk Neumann, Christof Weinhardt
2009 Autonomous Agents and Multi-Agent Systems  
As illustrated, consumers (e.g. applica- tion owners) want to execute three jobs – including an application for pattern recog- nition in video streams, crash simulation and four virtual machine instances  ...  BidGenerator is the connection component between the consumer application and the Trading Management (figure 1) or between the provider’s local resource manager and the Trading Management.  ... 
doi:10.1007/s10458-009-9112-y fatcat:mds43eoymbdbbpsdpeehgiowvq
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